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How do you know if your engineering team is actually improving? Too many engineering managers rely on gut feelings and anecdotal evidence to guide critical decisions—only to discover too late that intuition alone isn't enough. As Peter Drucker famously observed, \"If you can't measure it, you can't manage it.\"

*EM Metrics* is your practical guide to transforming engineering management from an art into a science. Drawing inspiration from Google's groundbreaking Project Oxygen and Project Aristotle research, this book equips you with the tools and techniques to collect, structure, and analyze the metrics that matter most.

From setting up data collection pipelines—whether through simple Google Sheets or sophisticated CI/CD integrations—to mastering statistical analysis techniques like weighted means and medians, you'll learn the complete journey from raw data to actionable wisdom using the DIKW framework.

Covering essential metrics including code coverage, merge request velocity, code complexity, and documentation health, this hands-on guide shows you exactly how to build a data-driven management practice.

Stop guessing. Start measuring. Lead with confidence.

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